What does a scaling matrix look like?
A). [[1, 0], [0, 1]]
B). [[0, 1], [1, 0]]
C). [[s, 0], [0, s]]
D). [[0, s], [s, 0]]
What happens when you apply a translation matrix?
A). Rotates the object
B). Scales the object
C). Moves the object
D). Skews the object
What is the result of multiplying two orthogonal matrices?
A). A diagonal matrix
B). A non-orthogonal matrix
C). An identity matrix
D). A reflection matrix
Which matrix operation is used for shearing?
A). Addition
B). Subtraction
C). Multiplication
D). Division
What is the result of multiplying an object by the identity matrix?
A). It is rotated
B). It is scaled
C). It is translated
D). It remains unchanged
What does the identity matrix do?
A). Scales the object
B). Moves the object
C). Rotates the object
D). Leaves the object unchanged
How does a negative determinant affect a transformation?
A). Inverts the transformation
B). Scales the transformation
C). Reflects the transformation
D). Rotates the transformation
What does a transformation matrix do?
A). Adds two matrices
B). Multiplies two matrices
C). Divides two matrices
D). Subtracts two matrices
What does a rotation matrix for 90 degrees look like?
A). [[1, 0], [0, 1]]
B). [[0, -1], [1, 0]]
C). [[0, 1], [-1, 0]]
D). [[-1, 0], [0, -1]]
How do you combine transformation matrices for multiple operations?
A). Add them together
B). Multiply them in reverse order
C). Multiply them in the given order
D). Divide them